Evolutionary computation data mining (130 risultati)
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Lingua: Inglese
Editore: Springer, 2004
Serie: Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, GermaniaVersandbuchhandlung Kisch & Co.
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Gebundene Ausgabe. Condizione: Neu. Neu Neuware; teils original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) proce…ss. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation). 288 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2004
Serie: Libro 13 di 183 - Studies in Fuzziness and Soft Computing
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Da: Che & Chandler Versandbuchhandlung, Fürstenberg OT Blumenow, GermaniaChe & Chandler Versandbuchhandlung
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Gebundene Ausgabe. Condizione: Neu. Neu Neuware; teils original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) proce…ss. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation). 288 pp. Englisch.
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 9th European Conference, Evobio 2011, Torino, Italy, April 27-29, 2011, Proceedings
Pizzuti, Clara (EDT); Ritchie, Marylyn D. (EDT); Giacobini, Mario (EDT)
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Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
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Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Malaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented togeth…er with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses. This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Malaga, Spain, in April 2012 co-located with the Evo* 2012 events. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, Evobio 2013, Vienna, Austria, April 3-5, 2013, Proceedings
Vanneschi, Leonardo (EDT); Bush, William S. (EDT); Giacobini, Mario (EDT)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, Evobio 2013, Vienna, Austria, April 3-5, 2013, Proceedings
Vanneschi, Leonardo (EDT); Bush, William S. (EDT); Giacobini, Mario (EDT)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 7th European Conference, Evobio 2009, Tubingen, Germany, April 15-17, 2009, Proceedings
Pizzuti, Clara (EDT); Ritchie, Marylyn D. (EDT); Giacobini, Mario (EDT)
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Paperback or Softback. Condizione: New. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Book.
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Paperback or Softback. Condizione: New. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 7th European Conference, Evobio 2009 T�bingen, Germany, April 15-17, 200. Book.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 5th European Conference, Evobio 2007, Valencia, Spain, April 11-13, 2007, Proceedings
Marchiori, Elena (EDT); Moore, Jason H. (EDT); Rajapakse, Jagath Chandana (EDT)
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Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
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Paperback. Condizione: New. 2011th. This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events. The 12 revised full papers presented together w…ith 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 9th European Conference, Evobio 2011, Torino, Italy, April 27-29, 2011, Proceedings
Pizzuti, Clara (EDT); Ritchie, Marylyn D. (EDT); Giacobini, Mario (EDT)
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Paperback. Condizione: new. Paperback. The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbi…ological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7-9, 2010attheIstanbulTechnicalUniversity.EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, held in Istanbul, Turkey, in April 2010 co-located with the Evo* 2010 events. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, Evobio 2013, Vienna, Austria, April 3-5, 2013, Proceedings
Vanneschi, Leonardo (EDT); Bush, William S. (EDT); Giacobini, Mario (EDT)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, Evobio 2013, Vienna, Austria, April 3-5, 2013, Proceedings
Vanneschi, Leonardo (EDT); Bush, William S. (EDT); Giacobini, Mario (EDT)
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